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A Review of Ensemble Learning-Based Solutions for Phishing Website Detection

Journal: International Journal of Emerging Trends in Engineering Research (IJETER) (Vol.9, No. 10)

Publication Date:

Authors : ;

Page : 1332-1335

Keywords : Phishing; Phishing Websites; Detection; Ensemble Learning;

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Abstract

Phishing is the deception of a trustworthy person in an electronic connection in order to obtain confidential information from individuals or organisations usernames, passwords, and credit card numbers are just a few examples. Phishers imitate legitimate websites by creating websites that are visually and semantically identical. As technology advances, phishing techniques have become more sophisticated, necessitating the use of antiphishing measures to detect phishing attacks. To solve the phishing attacks problems. We got the data for the Phishing website from the Kaggle open source website, which is a Google Limited Liability Company-owned online community of data scientists and machine learning experts ( LLC). We are using Ensemble learning to detecting website. We are also analize accurary. We compared the results of multiple machine learning methods for predicting phishing websites

Last modified: 2021-10-14 21:48:32